tooluniverse-variant-interpretation

tooluniverse-variant-interpretation is a Bioinformatics & life sciences skill for AI agents, published by mims-harvard in the ToolUniverse repository on GitHub. Skillspace rates tooluniverse-variant-interpretation D (69/100) and it passed the safety scan; the rating is based on static analysis only.

Clinical variant interpretation from raw variant calls to ACMG-classified recommendations with structural impact analysis. Use for VUS classification, pathogenicity assessment with cited criteria, structure-based variant impact (AlphaFold/PDB), non-coding/regulatory variant effect prediction with sequence deep-learning models (AlphaGenome, Enformer, Borzoi, ChromBPNet, Evo 2), and producing clinical-grade variant reports for return of results or molecular tumor boards. Use this whenever a user asks about a variant's significance, an intronic/promoter/enhancer/UTR non-coding variant's functional impact, or needs ACMG classification — even if they don't say "ACMG".

Grade

D

Quality

69 / 100

Safety

Passed

GitHub stars

1,566

Unproven: rated by static analysis only, not yet compared head-to-head.

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